CN104602293A - System and method for detecting and displaying wireless network signal range - Google Patents
System and method for detecting and displaying wireless network signal range Download PDFInfo
- Publication number
- CN104602293A CN104602293A CN201510058168.2A CN201510058168A CN104602293A CN 104602293 A CN104602293 A CN 104602293A CN 201510058168 A CN201510058168 A CN 201510058168A CN 104602293 A CN104602293 A CN 104602293A
- Authority
- CN
- China
- Prior art keywords
- vehicle
- mounted terminal
- terminal equipment
- latitude
- unique identifier
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 20
- 230000005540 biological transmission Effects 0.000 claims abstract description 37
- 230000002159 abnormal effect Effects 0.000 claims description 41
- 238000004364 calculation method Methods 0.000 claims description 39
- 238000004458 analytical method Methods 0.000 claims description 8
- 230000002950 deficient Effects 0.000 claims description 6
- 238000010295 mobile communication Methods 0.000 abstract description 4
- 238000004891 communication Methods 0.000 abstract description 2
- 230000008901 benefit Effects 0.000 description 12
- 238000010586 diagram Methods 0.000 description 7
- 230000002411 adverse Effects 0.000 description 3
- 230000003203 everyday effect Effects 0.000 description 2
- 230000007774 longterm Effects 0.000 description 2
- 238000001514 detection method Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000005211 surface analysis Methods 0.000 description 1
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/08—Testing, supervising or monitoring using real traffic
Abstract
The invention provides a system and a method for detecting and displaying a wireless network signal range, wherein a vehicle-mounted terminal device periodically acquires a current wireless network signal and longitude and latitude coordinates and periodically or in batches transmits the current wireless network signal and the longitude and latitude coordinates back to a rear-end cloud server, the cloud server can draw a transmission range of each cell by combining a convex shell algorithm according to the wireless network signal and the longitude and latitude coordinates transmitted back by the vehicle-mounted device, thereby making up the signal condition of a road section which is not driven through, analyzing the condition that the same area is covered by a plurality of cells according to the transmission range, and judging that the areas are not covered by any cell or are covered by only one cell and are located at the edge of the cell according to the cell covering condition to be used as the judgment of poor mobile communication receiving or communication dead angle areas for the reference of dimensional operation.
Description
[technical field]
The present invention is a kind of signal detection System and method for, is in particular the detecting of a kind of wireless network signal scope and the System and method for shown.
[background technology]
Current many prior aries are assumed to be circular or fan-shaped in the part of base station transmissions scope, and a given specific transmission range.But in actual life, network signal may be subject to environment and veil impact, cause transmission range may can not as circle ideally or fan-shaped.In addition, also there is related art to adopt mobile unit to road to travel and collects the cell ID of each location point corresponding to it and signal strength signal intensity, if but its signal(l)ing condition cannot be learnt in the section do not run over, so method may be limited to the number of positions of mobile unit return.
[summary of the invention]
The invention provides the detecting of a kind of wireless network signal scope and the system of showing, comprise: a plurality of WAP (wireless access point), each WAP (wireless access point) comprises affiliated unique identifier and latitude and longitude coordinates; A plurality of vehicle-mounted terminal equipment, is connected with each WAP (wireless access point), notes down unique identifier and the latitude and longitude coordinates of each WAP (wireless access point), and produces the wheelpath belonging to each vehicle-mounted terminal equipment; High in the clouds calculation server, receive unique identifier, latitude and longitude coordinates and the wheelpath noted down from each vehicle-mounted terminal equipment, and coordinate convex hull algorithm analysis according to described unique identifier, latitude and longitude coordinates and wheelpath, produce the transmission range of each WAP (wireless access point), then produce the distribution of signal defective region according to each transmission range; And high in the clouds historical data base, receive and store unique identifier, latitude and longitude coordinates and the wheelpath noted down from each vehicle-mounted terminal equipment, and providing high in the clouds calculation server to take.
Wherein said WAP (wireless access point) utilizes wireless network, as GSM (Global System for MobileCommunication, global system for mobile communications), UMTS (Universal MobileTelecommunications System, universal mobile telecommunications system), CDMA (Code Division MultipleAccess, code division multiple access), HSPA (High-Speed PacketAccess, high-speed packet accesses), LTE (Long Term Evolution, Long Term Evolution), WiMAX (Worldwide Interoperability forMicrowave Access, worldwide interoperability for microwave accesses) or WiFi (WIreless-FIdelity Wireless Fidelity) network and each vehicle-mounted terminal equipment link.Wherein said unique identifier is Cell ID (sequence of cells number), BSSID (Basic Service Set IDentity, infrastructure service arranges title) or network interface card ID (IDentity, physical address).Wherein said vehicle-mounted terminal equipment comprises locating module and multimode interface module, and each vehicle-mounted terminal equipment utilizes this locating module to position and utilize this multimode interface module collection network signal.
The invention provides the detecting of a kind of wireless network signal scope and the method for showing, its step comprises:
A plurality of vehicle-mounted terminal equipment notes down unique identifier and the latitude and longitude coordinates of a plurality of WAP (wireless access point);
Wheelpath belonging to the unique identifier of record, latitude and longitude coordinates and vehicle-mounted terminal equipment is uploaded to high in the clouds calculation server and high in the clouds historical data base by each vehicle-mounted terminal equipment; And
Each unique identifier, each latitude and longitude coordinates and each wheelpath are coordinated convex hull algorithm analysis by high in the clouds calculation server, produce the transmission range coverage region of each WAP (wireless access point), if arbitrary region simultaneously cover by each transmission range coverage region, then represent this regional signal good; If arbitrary region not cover by arbitrary transmission range coverage region or be positioned at the edge in this transmission range coverage region, then representing this region is the distribution of signal defective region.
The invention provides the detecting of a kind of wireless network signal scope and the method for showing, its step comprises:
A plurality of vehicle-mounted terminal equipment notes down the unique identifier of a plurality of WAP (wireless access point), latitude and longitude coordinates and the wheelpath belonging to vehicle-mounted terminal equipment;
When each vehicle-mounted terminal equipment and high in the clouds calculation server and high in the clouds historical data base network connectivity, unique identifier, latitude and longitude coordinates and wheelpath are uploaded to high in the clouds calculation server and high in the clouds historical data base by each vehicle-mounted terminal equipment;
This high in the clouds calculation server calculates unique identifier, latitude and longitude coordinates and the wheelpath that each vehicle-mounted terminal equipment uploads and accounts for the ratio of all amounts of uploading and determine whether abnormal data, and calculate mean value and the standard deviation of the ratio shared by this abnormal data, this abnormal data ratio is set to abnormal vehicle-mounted terminal equipment more than the vehicle-mounted terminal equipment of 3 standard deviations by high in the clouds calculation server, and unique identifier, latitude and longitude coordinates and the wheelpath that abnormal vehicle-mounted terminal equipment passes is filtered;
High in the clouds calculation server calculates unique identifier, latitude and longitude coordinates and the wheelpath that each vehicle-mounted terminal equipment uploaded in 24 hours and accounts for the ratio of the amount of uploading in all 24 hours and determine whether abnormal data, and calculate mean value and the standard deviation of the ratio shared by this abnormal data, this abnormal data ratio is set to abnormal vehicle-mounted terminal equipment more than the vehicle-mounted terminal equipment of 3 standard deviations by high in the clouds calculation server, and unique identifier, latitude and longitude coordinates and the wheelpath that this abnormal vehicle-mounted terminal equipment passes is filtered;
High in the clouds calculation server utilizes maximum magnitude to limit clustering algorithm, the restriction of setting ultimate range length, limits the unique identifier of vehicle-mounted terminal equipment, latitude and longitude coordinates and wheelpath are hived off if vehicle-mounted terminal equipment and other vehicle-mounted terminal equipment distance is less than ultimate range length; And
Arbitrary group of unique identifiers, latitude and longitude coordinates and wheelpath are coordinated convex hull algorithm analysis by high in the clouds calculation server, produce the transmission range coverage region of each WAP (wireless access point), if arbitrary region simultaneously cover by each transmission range coverage region, then represent this regional signal good; If arbitrary region not cover by arbitrary transmission range coverage region or be positioned at the edge in this transmission range coverage region, then representing this region is the distribution of signal defective region.
A kind of wireless network signal scope detecting provided by the present invention and the System and method for shown, when mutually comparing with other located by prior art, have more standby following advantages:
The present invention can cooperate with passenger traffic dealer or commercial fleet, uses mobile unit to collect the cell ID of each position link.
The present invention utilizes convex hull algorithm to draw out the transmission range of each community, makes up the signal(l)ing condition not running over section whereby.
The present invention according to transmission range analyze same region its by the situation of a plurality of MPS process, and MPS process situation can judge that those regions are not contained by any community or only contained by a community and between this cell edge according to this, the judgement of or communication dead angle area bad as Mobile Communications reception.
Vehicle-mounted terminal equipment of the present invention instantly cannot noting down in advance during connected network return data, and can be labeled as benefit return data, waits and can connected network carry out refilling biography data return again.
High in the clouds of the present invention calculation server can use statistical technique the benefit return data of exception to be carried out fortune filter, again with " maximum magnitude restriction clustering algorithm " that this patent proposes, benefit return data is hived off according to latitude and longitude coordinates, then shows with the scope of convex hull algorithm by every a group.
[accompanying drawing explanation]
Fig. 1 is wireless network signal scope of the present invention detecting and the system architecture schematic diagram shown.
Fig. 2 is wireless network signal scope of the present invention detecting and the method flow diagram shown.
Fig. 3 is convex hull algorithm flow chart of the present invention.
Fig. 4 is convex hull algorithm schematic diagram of the present invention.
Fig. 5 is another wireless network signal scope detecting of the present invention of the present invention and the method flow diagram shown.Description of reference numerals
101 WAP (wireless access point)
102 WAP (wireless access point)
103 WAP (wireless access point)
201 world-wide webs
202 vehicle-mounted terminal equipments
203 vehicle-mounted terminal equipments
204 vehicle-mounted terminal equipments
205 vehicle-mounted terminal equipments
300 high in the clouds calculation servers
400 high in the clouds historical data bases
S21 ~ S23 steps flow chart
S51 ~ S55 steps flow chart
[embodiment]
In order to make the object, technical solutions and advantages of the present invention clearly, below in conjunction with accompanying drawing, the present invention is described in further detail.
Refer to Fig. 1, for wireless network signal scope detecting of the present invention and the system architecture schematic diagram shown, native system comprises WAP (wireless access point) 101, WAP (wireless access point) 102, WAP (wireless access point) 103, vehicle-mounted terminal equipment 201, vehicle-mounted terminal equipment 202, vehicle-mounted terminal equipment 203, vehicle-mounted terminal equipment 204, vehicle-mounted terminal equipment 205, high in the clouds calculation server 300 and high in the clouds historical data base 400.WAP (wireless access point) 101 is attached to when vehicle-mounted terminal equipment 201 is in time point t1, latitude and longitude coordinates under record during time point t1 and the unique identifier of WAP (wireless access point) 101, and continue mobile, equally detect when time point t2 and be attached to WAP (wireless access point) 101, the unique identifier through position degree coordinate and WAP (wireless access point) 101 during the lower time point t2 of record; And the latitude and longitude coordinates of WAP (wireless access point) 102, WAP (wireless access point) 103 signal is noted down respectively by vehicle-mounted terminal equipment 202 and vehicle-mounted terminal equipment 203, vehicle-mounted terminal equipment 204 and vehicle-mounted terminal equipment 205.Such as, a timer can be set in vehicle-mounted terminal equipment 201, vehicle-mounted terminal equipment 201 is made to obtain every 30 seconds and note down its coordinate instantly and the WAP (wireless access point) 101 of line, if instantly cannot line, also can note down down its coordinate instantly and cannot line message, can be used as the reference frame of subsequent analysis.When having obtained data, if instantly can line, be back to high in the clouds calculation server 300 immediately, also must be temporary in vehicle-mounted terminal equipment 201, more batch be back to high in the clouds calculation server 300; If instantly cannot line, then adopt batch method, be first embedded in vehicle-mounted terminal equipment 201, when being back to high in the clouds calculation server 300 in the lump again during line.
Respectively the latitude and longitude coordinates of its correspondence is stored to high in the clouds historical data base 400 according to the unique identifier of WAP (wireless access point) 101, WAP (wireless access point) 102, WAP (wireless access point) 103, WAP (wireless access point) 104, WAP (wireless access point) 105 respectively by high in the clouds calculation server 300, stored the history wheelpath of vehicle-mounted terminal equipment 201, vehicle-mounted terminal equipment 202, vehicle-mounted terminal equipment 203, vehicle-mounted terminal equipment 204, vehicle-mounted terminal equipment 2055 by high in the clouds historical data base 400, and each latitude and longitude coordinates is corresponding and unique identifier.And, high in the clouds calculation server 300 can obtain history wheelpath in high in the clouds historical data base 400, use wireless network signal scope of the present invention to detect and carry out wireless network signal surface analysis with the methods combining convex hull algorithm shown, the wireless network signal scope analyzing each region covers situation, judges that signal is bad with signal dead angle area according to this.
As shown in Figure 2, be wireless network signal scope detecting of the present invention and the method flow diagram shown, comprise step as follows:
S21: collect WAP (wireless access point) latitude and longitude coordinates and unique identifier;
S22: use convex hull algorithm to analyze latitude and longitude coordinates and the unique identifier of each WAP (wireless access point), to draw transmission range; And
S23: the transmission range coverage number analyzing each WAP (wireless access point) region, and analytic signal is bad or signal dead angle area.
Wherein collect WAP (wireless access point) latitude and longitude coordinates and unique identifier, unique identifier and the latitude and longitude coordinates of each WAP (wireless access point) on road can be collected by a plurality of vehicle-mounted terminal equipment, and this data acquisition system is back to high in the clouds calculation server with periodicity or batch mode, and be stored to high in the clouds historical data base.
Convex hull algorithm is used to analyze unique identifier and the latitude and longitude coordinates of each WAP (wireless access point), to draw transmission range, analyze the wheelpath in the historical data base of high in the clouds, obtain in recording journey the unique identifier and latitude and longitude coordinates that are attached to each WAP (wireless access point), as the input value of convex hull algorithm (as shown in Figure 3).Use convex hull algorithm according to the latitude and longitude coordinates of each its correspondence of WAP (wireless access point), first sort according to y-axis (latitude) and x-axis (longitude), again respectively according to the location point set after sequence, each latitude and longitude coordinates and other latitude and longitude coordinates are carried out line and angle judges, and take out the maximum line of clockwise angle as Polygonal Boundary, as its transmission range.As shown in Figure 4,6 location points are collected altogether by vehicle-mounted terminal equipment, be respectively location point A, location point B, location point C, location point D, location point E, location point F, via after convex hull algorithm computing can the transmission range polygon of this base station be location point A, the pentagon that forms of location point B, location point C, location point F, location point E five summits.This polygon can more press close to real transmission range compared to the circle of conventional art or sector region.
Analyze the WAP (wireless access point) transmission range coverage number in each region, and analytic signal is bad or signal dead angle area, analyze the transmission range (polygon) of each WAP (wireless access point) that convex hull algorithm is analyzed out, judge that each region is by the situation of each WAP (wireless access point) transmission range coverage.If same region its covered by a plurality of polygon, then representation signal is good; Otherwise, if same region is without being covered by any polygon or only having a polygon and between this polygonal edge, then may be the region at the bad or signal dead angle of signal.In addition, also including in the track of vehicle-mounted terminal equipment passback cannot the location point of line, and GIS-Geographic Information System of this location point and base station transmissions range areas can being arranged in pairs or groups is presented on map in the lump.
As shown in Figure 5, be another wireless network signal scope detecting of the present invention of the present invention and the method flow diagram shown, step is as follows:
S51: refill and pass data recording and passback;
S52: vehicle-mounted terminal equipment abnormal data filters;
S53: vehicle-mounted terminal equipment abnormal data on the same day filters;
S54: mend return data and hive off according to latitude and longitude coordinates; And
S55: refill according to every a group the latitude and longitude coordinates passing data and draw out wireless network signal adverse extent.
Wherein, refill and pass data recording with when returning, when vehicle-mounted terminal equipment connected network with when transmitting data, still by information recodes such as latitude and longitude coordinates instantly and time points in vehicle-mounted terminal equipment, and cannot can mark these data for mending return data instantly smoothly in execution.When being linked to network after vehicle-mounted terminal equipment, then biography data return will be refilled to high in the clouds calculation server, carry out storage and subsequent analysis utilization by high in the clouds calculation server.For following table 1, the vehicle-mounted terminal equipment being numbered 1 is had to start regularly to return the data such as longitude and latitude to high in the clouds calculation server end in 2013/11/0112:24:14, but cannot connected network when 2013/11/0112:25:44, now can first longitude and latitude be first embedded in vehicle-mounted terminal equipment, and whether being labeled as Y for refilling biography data field, then data can be back in the lump high in the clouds calculation server end again during connected network in 2013/11/0112:26:14.
Table 1
Vehicle-mounted terminal equipment abnormal data filters: after high in the clouds calculation server collects the benefit return data of each vehicle-mounted terminal equipment return, by calculating every platform vehicle-mounted terminal equipment, it refills the ratio (being referred to as in the present invention " abnormal data ratio ") that biography data volume accounts for all return data amounts, and calculate mean value and the standard deviation of the abnormal data ratio of all vehicle-mounted terminal equipments, again abnormal data ratio is considered as abnormal vehicle-mounted terminal equipment more than the vehicle-mounted terminal equipment of 3 standard deviations, and this equipment institute return data is filtered.For following table 2, have 15 vehicle-mounted terminal equipments, and note down the benefit return data stroke count of every platform vehicle-mounted terminal equipment in November one in 2013 in whole month, total return data stroke count, abnormal data ratio.The mean value that can calculate abnormal data ratio is 3.82%, and standard deviation is 12.95%, and mean value adds 3 standard deviations is 42.67% as threshold value.Wherein, the abnormal data ratio due to the vehicle-mounted terminal equipment being numbered 15 is 52.08%, and exceedes threshold value 42.45%, and the vehicle-mounted terminal equipment being therefore numbered 15 is abnormal data, is filtered.
Table 2
| Vehicle-mounted machine is numbered | Mend return data stroke count | Total data stroke count | Abnormal data ratio |
| 1 | 10 | 19200 | 0.05％ |
| 2 | 15 | 19200 | 0.08％ |
| 3 | 4 | 19200 | 0.02％ |
| 4 | 8 | 19200 | 0.04％ |
| 5 | 3 | 19200 | 0.02％ |
| 6 | 1 | 19200 | 0.01％ |
| 7 | 5 | 19200 | 0.03％ |
| 8 | 6 | 19200 | 0.03％ |
| 9 | 11 | 19200 | 0.06％ |
| 10 | 7 | 19200 | 0.04％ |
| 11 | 2 | 19200 | 0.01％ |
| 12 | 13 | 19200 | 0.07％ |
| 13 | 9 | 19200 | 0.05％ |
| 14 | 900 | 19200 | 4.69％ |
| 15 | 10000 | 19200 | 52.08％ |
Vehicle-mounted terminal equipment abnormal data on the same day filters: after high in the clouds calculation server collects the benefit return data of each vehicle-mounted terminal equipment return, by calculating every platform vehicle-mounted terminal equipment every day, it refills and passes the ratio (being referred to as in the present invention " abnormal data ratio on the same day ") that data volume accounts for all return data amounts, and calculate all vehicle-mounted terminal equipments every day the same day abnormal data ratio mean value and standard deviation, again abnormal data ratio on the same day is considered as this equipment more than the vehicle-mounted terminal equipment of 3 standard deviations and has unusual condition the same day, and this equipment institute on same day return data is filtered.For following table 3, because the vehicle-mounted terminal equipment of numbering 15 is filtered in above-mentioned, be left to have 14 vehicle-mounted terminal equipments, and note down the benefit return data stroke count of every platform vehicle-mounted terminal equipment in a whole day on November 01st, 2013, total return data stroke count, abnormal data ratio.The mean value that can calculate abnormal data ratio is 7.32%, and standard deviation is 23.69%, and mean value adds 3 standard deviations is 78.38% as threshold value.Wherein, the abnormal data ratio due to the vehicle-mounted terminal equipment being numbered 15 is 92.71%, and exceedes threshold value 78.38%, and therefore vehicle-mounted machine numbering 14 is abnormal data on the same day on November 01st, 2013, is filtered.
Table 3
| Vehicle-mounted machine is numbered | Mend return data stroke count | Total data stroke count | The same day abnormal data ratio |
| 1 | 10 | 960 | 1.04％ |
| 2 | 15 | 960 | 1.56％ |
| 3 | 4 | 960 | 0.42％ |
| 4 | 8 | 960 | 0.83％ |
| 5 | 3 | 960 | 0.31％ |
| 6 | 1 | 960 | 0.10％ |
| 7 | 5 | 960 | 0.52％ |
| 8 | 6 | 960 | 0.63％ |
| 9 | 11 | 960 | 1.15％ |
| 10 | 7 | 960 | 0.73％ |
| 11 | 2 | 960 | 0.21％ |
| 12 | 13 | 960 | 1.35％ |
| 13 | 9 | 960 | 0.94％ |
| 14 | 890 | 960 | 92.71％ |
Mend return data to hive off according to latitude and longitude coordinates, the present invention proposes maximum magnitude restriction clustering algorithm, the restriction of setting ultimate range length, the group center of the benefit return data be not filtered and current each group is compared, if distance is less than the restriction of this ultimate range length, then this being mended return data is added in this group, mends return data according to this hive off according to latitude and longitude coordinates every.In the present embodiment, the threshold value of ultimate range length restriction is set to 2 kilometers.Maximum magnitude restriction clustering algorithm, first will take out not by the benefit return data hived off, and judges whether there is the group center of having hived off at present, if it's not true, then oneself is set to a new group, and oneself is set to the group center of this group; If existing group center of having hived off, then compare with the latitude and longitude coordinates of each group center and the latitude and longitude coordinates of oneself, assessment whether lower than threshold value 2 kilometers, if lower than the words of threshold value, then these data are added in this group, and recalculate group center; If all there is no the group center lower than threshold value 2 kilometers, then oneself be set to a new group, and oneself be set to the group center of this group, until all benefit return data all assign to group.
Refill according to every a group the latitude and longitude coordinates passing data and draw out wireless network signal adverse extent, use convex hull algorithm to draw the scope of every a group every a group, so wireless network signal adverse extent can be carried out showing and presenting, for maintenance and operation reference.
The above embodiment only have expressed several execution mode of the present invention, and it describes comparatively concrete and detailed, but therefore can not be interpreted as the restriction to the scope of the claims of the present invention.It should be pointed out that for the person of ordinary skill of the art, without departing from the inventive concept of the premise, can also make some distortion and improvement, these all belong to protection scope of the present invention.Therefore, the protection range of patent of the present invention should be as the criterion with claims.
Claims (6)
1. the detecting of wireless network signal scope and a system of showing, is characterized in that, comprise:
A plurality of WAP (wireless access point), each WAP (wireless access point) comprises affiliated unique identifier and latitude and longitude coordinates;
A plurality of vehicle-mounted terminal equipment, is connected with each this WAP (wireless access point), and record is the unique identifier of this WAP (wireless access point) and this latitude and longitude coordinates respectively, and produces the wheelpath respectively belonging to this vehicle-mounted terminal equipment;
High in the clouds calculation server, receive unique identifier, latitude and longitude coordinates and the wheelpath noted down from each this vehicle-mounted terminal equipment, and coordinate convex hull algorithm analysis according to described unique identifier, latitude coordinate and wheelpath, produce the transmission range of each WAP (wireless access point), then produce the distribution of signal defective region according to each transmission range; And
High in the clouds historical data base, receives and stores unique identifier, latitude and longitude coordinates and the wheelpath noted down from each vehicle-mounted terminal equipment, and providing high in the clouds calculation server to take.
2. wireless network signal scope detecting according to claim 1 and the system of showing, it is characterized in that, wherein said WAP (wireless access point) utilizes wireless network and vehicle-mounted terminal equipment to link.
3. wireless network signal scope detecting according to claim 1 and the system of showing, it is characterized in that, wherein said unique identifier is Cell ID, BSSID or network interface card ID.
4. wireless network signal scope detecting according to claim 1 and the system of showing, it is characterized in that, wherein said vehicle-mounted terminal equipment comprises locating module and multimode interface module, and each vehicle-mounted terminal equipment utilizes locating module to position and utilizes multimode interface module collection network signal.
5. the detecting of wireless network signal scope and a method of showing, it is characterized in that, step comprises:
A plurality of vehicle-mounted terminal equipment notes down unique identifier and the latitude and longitude coordinates of a plurality of WAP (wireless access point);
Respectively the wheelpath belonging to the unique identifier of record, latitude and longitude coordinates and vehicle-mounted terminal equipment is uploaded to high in the clouds calculation server and high in the clouds historical data base by this vehicle-mounted terminal equipment; And
This high in the clouds calculation server is by each unique identifier, each latitude and longitude coordinates and respectively this wheelpath cooperation convex hull algorithm analysis, produce a transmission range coverage region of each WAP (wireless access point), if arbitrary region simultaneously cover by each transmission range coverage region, then represent this regional signal good; If arbitrary region not cover by arbitrary each transmission range coverage region or be positioned at the edge in this transmission range coverage region, then representing this region is the distribution of signal defective region.
6. the detecting of wireless network signal scope and a method of showing, it is characterized in that, step comprises:
A plurality of vehicle-mounted terminal equipment notes down the unique identifier of a plurality of WAP (wireless access point), latitude and longitude coordinates and the wheelpath belonging to each vehicle-mounted terminal equipment;
When each vehicle-mounted terminal equipment and high in the clouds calculation server and high in the clouds historical data base network connectivity, unique identifier, latitude and longitude coordinates and wheelpath are uploaded to high in the clouds calculation server and high in the clouds historical data base by each vehicle-mounted terminal equipment;
High in the clouds calculation server calculates unique identifier, latitude and longitude coordinates and the wheelpath that each vehicle-mounted terminal equipment uploads and accounts for the ratio of all amounts of uploading and determine whether abnormal data, and calculate mean value and the standard deviation of the ratio shared by this abnormal data, this abnormal data ratio is set to abnormal vehicle-mounted terminal equipment more than the vehicle-mounted terminal equipment of 3 standard deviations by this high in the clouds calculation server, and unique identifier, latitude and longitude coordinates and the wheelpath that this abnormal vehicle-mounted terminal equipment passes is filtered;
High in the clouds calculation server calculates unique identifier, latitude and longitude coordinates and the wheelpath that each vehicle-mounted terminal equipment uploaded in 24 hours and accounts for the ratio of the amount of uploading in all 24 hours and determine whether abnormal data, and calculate mean value and the standard deviation of the ratio shared by abnormal data, abnormal data ratio is set to abnormal vehicle-mounted terminal equipment more than the vehicle-mounted terminal equipment of 3 standard deviations by high in the clouds calculation server, and unique identifier, latitude and longitude coordinates and the wheelpath that abnormal vehicle-mounted terminal equipment passes is filtered;
High in the clouds calculation server utilizes maximum magnitude to limit clustering algorithm, set a ultimate range length restriction, limit if vehicle-mounted terminal equipment and other vehicle-mounted terminal equipment distance are less than this ultimate range length the unique identifier of this vehicle-mounted terminal equipment, latitude and longitude coordinates and this wheelpath are hived off; And
Arbitrary group of unique identifiers, latitude and longitude coordinates and wheelpath are coordinated convex hull algorithm analysis by high in the clouds calculation server, produce a transmission range coverage region of each WAP (wireless access point), if arbitrary region simultaneously cover by each transmission range coverage region, then represent this regional signal good; If arbitrary region not cover by arbitrary transmission range coverage region or be positioned at the edge in this transmission range coverage region, then representing this region is the distribution of signal defective region.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711208023.1A CN107734540B (en) | 2014-11-14 | 2015-02-04 | System and method for detecting and displaying wireless network signal range |
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| TW103139467A TWI592036B (en) | 2014-11-14 | 2014-11-14 | Wireless network signal range detection and display methods |
| TW103139467 | 2014-11-14 |
Related Child Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201711208023.1A Division CN107734540B (en) | 2014-11-14 | 2015-02-04 | System and method for detecting and displaying wireless network signal range |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN104602293A true CN104602293A (en) | 2015-05-06 |
| CN104602293B CN104602293B (en) | 2018-03-02 |
Family
ID=53127702
Family Applications (2)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510058168.2A Expired - Fee Related CN104602293B (en) | 2014-11-14 | 2015-02-04 | System and method for detecting and displaying wireless network signal range |
| CN201711208023.1A Expired - Fee Related CN107734540B (en) | 2014-11-14 | 2015-02-04 | System and method for detecting and displaying wireless network signal range |
Family Applications After (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201711208023.1A Expired - Fee Related CN107734540B (en) | 2014-11-14 | 2015-02-04 | System and method for detecting and displaying wireless network signal range |
Country Status (2)
| Country | Link |
|---|---|
| CN (2) | CN104602293B (en) |
| TW (1) | TWI592036B (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109963285A (en) * | 2017-12-14 | 2019-07-02 | 中国移动通信集团广东有限公司 | Determine method, apparatus, electronic equipment and the storage medium of cell coverage area |
| CN111092757A (en) * | 2019-12-06 | 2020-05-01 | 网宿科技股份有限公司 | Abnormal data detection method, system and equipment |
| CN111833538A (en) * | 2019-07-05 | 2020-10-27 | 北京骑胜科技有限公司 | Fixed-point vehicle returning method and device |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101529956A (en) * | 2006-08-11 | 2009-09-09 | Sirf科技公司 | Cell ID based positioning from cell intersections |
| US20090270106A1 (en) * | 2006-05-29 | 2009-10-29 | Yasuhiko Matsunaga | Configuration management method and configuration management system of wireless access network, and wireless access network management device |
| CN102063499A (en) * | 2011-01-04 | 2011-05-18 | 百度在线网络技术（北京）有限公司 | Method and system for constructing electronic map locating database |
| US20120139790A1 (en) * | 2009-03-04 | 2012-06-07 | Nokia Corporation | Optimal storage scheme for access point coverage data |
| CN103841567A (en) * | 2012-11-26 | 2014-06-04 | 中国移动通信集团广东有限公司 | Method for obtaining polygon area of base station and base station |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101267643B (en) * | 2007-03-12 | 2011-07-13 | 中兴通讯股份有限公司 | Method for improving network plan simulation precision |
| CN102184267B (en) * | 2011-04-14 | 2013-02-13 | 上海同岩土木工程科技有限公司 | Abnormal data filtration method for interference elimination of automatic data acquisition system |
| CN104142672A (en) * | 2013-05-08 | 2014-11-12 | 龚轶 | Vehicle data analysis system |
| CN103529811B (en) * | 2013-10-28 | 2016-03-30 | 国家电网公司 | A kind of electric automobile car-mounted terminal off-line data compressed cache system and method for work |
-
2014
- 2014-11-14 TW TW103139467A patent/TWI592036B/en active
-
2015
- 2015-02-04 CN CN201510058168.2A patent/CN104602293B/en not_active Expired - Fee Related
- 2015-02-04 CN CN201711208023.1A patent/CN107734540B/en not_active Expired - Fee Related
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090270106A1 (en) * | 2006-05-29 | 2009-10-29 | Yasuhiko Matsunaga | Configuration management method and configuration management system of wireless access network, and wireless access network management device |
| CN101529956A (en) * | 2006-08-11 | 2009-09-09 | Sirf科技公司 | Cell ID based positioning from cell intersections |
| US20120139790A1 (en) * | 2009-03-04 | 2012-06-07 | Nokia Corporation | Optimal storage scheme for access point coverage data |
| CN102063499A (en) * | 2011-01-04 | 2011-05-18 | 百度在线网络技术（北京）有限公司 | Method and system for constructing electronic map locating database |
| CN103841567A (en) * | 2012-11-26 | 2014-06-04 | 中国移动通信集团广东有限公司 | Method for obtaining polygon area of base station and base station |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109963285A (en) * | 2017-12-14 | 2019-07-02 | 中国移动通信集团广东有限公司 | Determine method, apparatus, electronic equipment and the storage medium of cell coverage area |
| CN109963285B (en) * | 2017-12-14 | 2022-06-10 | 中国移动通信集团广东有限公司 | Method, device, electronic equipment and storage medium for determining cell coverage |
| CN111833538A (en) * | 2019-07-05 | 2020-10-27 | 北京骑胜科技有限公司 | Fixed-point vehicle returning method and device |
| CN111092757A (en) * | 2019-12-06 | 2020-05-01 | 网宿科技股份有限公司 | Abnormal data detection method, system and equipment |
| CN111092757B (en) * | 2019-12-06 | 2021-11-23 | 网宿科技股份有限公司 | Abnormal data detection method, system and equipment |
Also Published As
| Publication number | Publication date |
|---|---|
| TW201618571A (en) | 2016-05-16 |
| TWI592036B (en) | 2017-07-11 |
| CN107734540B (en) | 2021-04-13 |
| CN104602293B (en) | 2018-03-02 |
| CN107734540A (en) | 2018-02-23 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106792754B (en) | Method and system for detecting communication user on high-speed rail | |
| CN104217592B (en) | People flow rate statistical method, equipment and system | |
| CN105491532B (en) | A kind of mobile phone SIP signaling filtering method and apparatus for road network running state analysis | |
| CN102097004A (en) | Mobile phone positioning data-based traveling origin-destination (OD) matrix acquisition method | |
| CN107872767A (en) | A kind of net about car brush single act recognition methods and identifying system | |
| CN110392379B (en) | Method and device for positioning network problem, electronic equipment and storage medium | |
| CN106973165B (en) | vehicle excess member monitoring method, vehicle excess member monitoring system, operator system and mobile terminal | |
| CN107332704A (en) | Assess the method and system that high-speed railway mobile subscriber uses LTE service quality | |
| CN104540138B (en) | A method of positioning pseudo-base station | |
| CN104602293A (en) | System and method for detecting and displaying wireless network signal range | |
| US20160295470A1 (en) | Communications system and method | |
| CN104636611A (en) | Urban road/ road segment vehicle speed evaluation method | |
| CN108574984B (en) | Positioning method and device | |
| CN108966116B (en) | Terminal control method, network side and acquisition device | |
| CN105096584A (en) | Traffic decision support method, device, and system | |
| CN108260126A (en) | A kind of pseudo-base station recognition positioning method and device | |
| DE102016209568B3 (en) | Methods, apparatus and computer programs for capturing measurement results from mobile devices | |
| CN110460962A (en) | Rail traffic user identification method and device | |
| CN109286943B (en) | Network test box, network test method and network test analysis system | |
| CN103945433B (en) | A kind of weak overlay area of network determines method and device | |
| CN104796981B (en) | Safety region alarming method and system based on multiple base station identifications and mobile terminal | |
| CN106973397B (en) | Method and system for judging coverage hole | |
| CN109348490B (en) | Method and device for identifying adjacent carrier waves interfering railway LTE network | |
| CN103188694B (en) | A kind of method and system promoting WLAN shunt effect and planning accuracy rate | |
| CN107231633B (en) | Method for mobile terminal to identify pseudo base station and mobile terminal |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20180302 Termination date: 20210204 |